Senior Level Data And Analytics Jobs
Senior level data and analytics jobs put experienced professionals in charge of analytical strategy, data infrastructure decisions, and the cross-functional teams or projects that turn complex data into business outcomes. Hiring concentrates across Technology & Software, Insurance, and Biotechnology & Pharmaceuticals, with 40% of openings offering remote or hybrid work, and employers like Xometry, Apple, and Revolution Medicines hiring at this level now.
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About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
About the Role
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and finance analytics. You'll partner with operations and finance leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and critical business analytics. This is a player-coach leadership role: you'll set technical direction, but also be hands on delivering projects.
This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
Own the data science and applied AI roadmap for G&A—agentic systems, forecasting, lead scoring, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
Lead, hire, and develop a data science and analytics team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
Partner with operations, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
Responsible for our finance analytics team that supports all of finance - accounting, FP&A, and pricing.
Collaborate with data engineering, machine learning engineering, and platform teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
Strong background managing analytics teams
Demonstrated track record in influencing internal operational decisions based on ML systems (e.g. forecasts and lead scores).
Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
Proven expertise in analytics- driving decisions through deep analysis.
Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
Comfort operating in a fast-moving, data-rich environment where decisions carry real operational and cost consequences.
Nice to Have
Background in B2B SaaS, marketplaces, logistics, or field operations.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
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Who's Hiring
Top Industries Hiring
- Technology & Software16
- Insurance8
- Biotechnology & Pharmaceuticals8
- Consulting & Professional Services6
- Manufacturing4
Senior Level Data And Analytics Jobs: Frequently Asked Questions
How do I get a senior level data and analytics job?
Employers hiring at the senior level want candidates who have owned end-to-end analytical work, not just contributed to it. Demonstrating that you have set analytical direction, mentored junior teammates, and translated data findings into decisions that moved a business forward gives you a clear edge. A portfolio of high-impact projects and fluency in the tools your target industry relies on strengthens your candidacy further.
Which companies hire senior level data and analyticss?
Companies hiring senior level data and analyticss right now include Xometry, Apple, and Revolution Medicines, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises with mature data functions as well as growth-stage organizations building out their analytics capabilities for the first time.
Are there remote senior level data and analytics jobs?
Yes, remote and hybrid options are widely available at this experience level. About 40% of senior level data and analytics openings are remote or hybrid as of September 2026, reflecting employer confidence in placing senior professionals in distributed roles where autonomy and output matter more than physical presence.
What makes a data and analytics role senior level?
Senior level data and analytics roles are defined by ownership over analytical scope, not just task execution. That means setting the direction for how data is collected, modeled, or interpreted, leading projects that inform strategic decisions, and mentoring analysts who are earlier in their careers. Technical depth in areas like advanced modeling, data architecture, or business intelligence is expected alongside the ability to communicate findings to non-technical stakeholders.
Which industries hire the most senior level data and analyticss?
Senior level data and analytics roles concentrate in Technology & Software, Insurance, and Biotechnology & Pharmaceuticals, based on current listings on Migrate Mate as of September 2026. These sectors generate large, complex data environments where experienced professionals are needed to guide strategy, govern data quality, and ensure analytics work directly supports business performance.